Can I Run IBM Granite 4.1 on MacBook Air (M4, 16 GB)?
Written by Jakub Rusinowski · Last updated April 29, 2026
Yes
Yes — Granite 4.1 8B at Q8_0 needs about 10.4 GB of the 12 GB usable on MacBook Air (M4, 16 GB) (~1.6 GB spare), at ~7.1 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~7.1 tok/s
MacBook Air (M4, 16 GB) — what it gives a model
| Usable memory for models | 12 GB |
| Memory bandwidth | 120 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
IBM Granite 4.1 on MacBook Air (M4, 16 GB): memory by quantization
| Quant | Memory needed | Fits 12 GB? | Max context | Est. speed | Download |
|---|
| F16 | 17.9 GB | ✗ No | — | — | 16 GB |
| Q8_0 | 10.4 GB | ✓ Yes | 16K | ~7.1 tok/s | 8.5 GB |
| Q6_K | 8.5 GB | ✓ Yes | 32K | ~9 tok/s | 6.6 GB |
| Q5_K_M | 7.6 GB | ✓ Yes | 32K | ~10.2 tok/s | 5.7 GB |
| Q4_K_M | 6.8 GB | ✓ Yes | 32K | ~11.7 tok/s | 4.8 GB |
| Q3_K_M | 5.4 GB | ✓ Yes | 32K | ~15.7 tok/s | 3.4 GB |
| Q2_K | 4.6 GB | ✓ Yes | 32K | ~19.4 tok/s | 2.6 GB |
Which IBM Granite 4.1 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|
| Granite 4.1 30B | 20.7 GB | ✗ Too large | — |
| Granite 4.1 8B | 6.8 GB | ✓ Fits | ~11.7 tok/s |
| Granite 4.1 3B | 3.5 GB | ✓ Fits | ~27.1 tok/s |
What to watch out for
- 1 larger variant of IBM Granite 4.1 does not fit and would need CPU offload or different hardware.
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
MacBook Air M4 16 GB limitations
- Fanless: sustained generation throttles on long runs in a way the same chip in a MacBook Pro does not.
- 16 GB unified memory is shared with the OS and every open app.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 16 GB unified memory at 120 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run IBM Granite 4.1 on MacBook Air (M4, 16 GB)?
Yes — Granite 4.1 8B at Q8_0 needs about 10.4 GB of the 12 GB usable on MacBook Air (M4, 16 GB) (~1.6 GB spare), at ~7.1 tok/s (estimated), with room for about 16,384 tokens of context.
Which quantization of IBM Granite 4.1 should I use on MacBook Air (M4, 16 GB)?
Q8_0 — it needs about 10.4 GB of the 12 GB available, downloads as roughly 8.5 GB, and runs at an estimated 7.1 tokens/sec with up to 16K of context.
What limits IBM Granite 4.1 on MacBook Air (M4, 16 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
Other Models on MacBook Air (M4, 16 GB)
IBM Granite 4.1 on GPUs
What This Model Is Good At
Model & Tools
← Can I Run It? | IBM Granite 4.1 model page | Check your hardware